PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-07-19 10:21:34.736796+00:00 (UTC)
In US/Central Time, this is 2024-07-19 05:21:34.736796-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../../_images/63eb1f32b37c4b0adf7638bca2f73943c105f58e903287393f17449ca01db9dc.png
We are just generating a random time serie here.
../../_images/02f5fcc12e3bdff4bc9ef6fcce8961573a76ca73ca5547e5bb0c90062cca04e7.png
../../_images/1016c497de43c4024e50228f2caa8a2c02a767f01e45f3fad203100cb394b2b1.png